A high-definition view of functional genetic variation from natural yeast genomes

Bergström, Anders ORCID: https://orcid.org/0000-0002-4096-9268, Simpson, Jared T., Salinas, Francisco, Barré, Benjamin, Parts, Leopold, Zia, Amin, Nguyen Ba, Alex N., Moses, Alan M., Louis, Edward J., Mustonen, Ville, Warringer, Jonas, Durbin, Richard and Liti, Gianni (2014) A high-definition view of functional genetic variation from natural yeast genomes. Molecular Biology and Evolution, 31 (4). pp. 872-888. ISSN 0737-4038

Full text not available from this repository. (Request a copy)

Abstract

The question of how genetic variation in a population influences phenotypic variation and evolution is of major importance in modern biology. Yet much is still unknown about the relative functional importance of different forms of genome variation and how they are shaped by evolutionary processes. Here we address these questions by population level sequencing of 42 strains from the budding yeast Saccharomyces cerevisiae and its closest relative S. paradoxus. We find that genome content variation, in the form of presence or absence as well as copy number of genetic material, is higher within S. cerevisiae than within S. paradoxus, despite genetic distances as measured in single-nucleotide polymorphisms being vastly smaller within the former species. This genome content variation, as well as loss-of-function variation in the form of premature stop codons and frameshifting indels, is heavily enriched in the subtelomeres, strongly reinforcing the relevance of these regions to functional evolution. Genes affected by these likely functional forms of variation are enriched for functions mediating interaction with the external environment (sugar transport and metabolism, flocculation, metal transport, and metabolism). Our results and analyses provide a comprehensive view of genomic diversity in budding yeast and expose surprising and pronounced differences between the variation within S. cerevisiae and that within S. paradoxus. We also believe that the sequence data and de novo assemblies will constitute a useful resource for further evolutionary and population genomics studies.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Biological Sciences
UEA Research Groups:	Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation
Depositing User:	LivePure Connector
Date Deposited:	24 Oct 2023 01:46
Last Modified:	01 Nov 2024 00:51
URI:	https://ueaeprints.uea.ac.uk/id/eprint/93444
DOI:	10.1093/molbev/msu037

Actions (login required)

View Item